Detecting synfire chains in parallel spike data

Gerstein, G.L.; Grün, S.; Williams, E.R.; Diesmann, M.; Trengove, C.

doi:10.1016/j.jneumeth.2012.02.003

Journal Article

Detecting synfire chains in parallel spike data

Gerstein, G. L. ; Williams, E. R. ; Diesmann, M.FZJ* ; Grün, S.FZJ* ; Trengove, C.

2012
Elsevier Science Amsterdam [u.a.]

Journal of neuroscience methods 206, 54 - 64 (2012) [10.1016/j.jneumeth.2012.02.003]

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Please use a persistent id in citations: http://hdl.handle.net/2128/7489 doi:10.1016/j.jneumeth.2012.02.003

Abstract: The synfire chain model of brain organization has received much theoretical attention since its introduction (Abeles, 1982, 1991). However there has been no convincing experimental demonstration of synfire chains due partly to limitations of recording technology but also due to lack of appropriate analytic methods for large scale recordings of parallel spike trains. We have previously published one such method based on intersection of the neural populations active at two different times (Schrader et al., 2008). In the present paper we extend this analysis to deal with higher firing rates and noise levels, and develop two additional tools based on properties of repeating firing patterns. All three measures show characteristic signatures if synfire chains underlie the recorded data. However we demonstrate that the detection of repeating firing patterns alone (as used in several papers) is not enough to infer the presence of synfire chains. Positive results from all three measures are needed.

Keyword(s): J ; Multiple spike trains (auto) ; Synfire chains (auto) ; Detection and analysis algorithms (auto) ; Repeating spike patterns (auto) ; Active identity intersection matrix (auto)

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Note: Partially funded by EU Grant 269921 (BrainScaleS), DIP F1.2, the Helmholtz Alliance on Systems Biology (Germany), and the Next-Generation Supercomputer Project of MEXT (Japan). ERW was supported by the CARMEN project, funded by the Engineering and Physical Sciences Research Council, UK (www.carmen.org.uk).

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